Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains:
What data virtualization is and its benefits
When and when not to use data virtualization
How to deploy data virtualization to benefit your business
How to unlock the value of your SAP data

Over the past decade, businesses have made tremendous investments in information
capture, storage, and analysis. But having a wealth of data isn’t the same as having
valuable information. TIBCO®
Data Virtualization products and services provide a way
to turn your data stores into valuable information that improves decision-making and
propels experimentation and innovation. This paper explains:
•?What data virtualization is and its benefits
•?When and when not to use data virtualization
•?How to deploy data virtualization to benefit your business

Offices aren’t productivity factories anymore—they’re collaboration centers where individuals and groups can develop their best ideas. That means building out an office takes a whole new approach, and it isn’t just about using aesthetics and shiny toys to attract top talent (although that is part of it). Successful offices are functional tools that bring technology and people together so they can do their best work. Cisco® Collaboration tools bring people together to speed the decision-making process and help you execute on your most innovative ideas while cutting operational waste. Bring Cisco Collaboration to your workplace and create a workplace that works.

IT complexity has rapidly grown with more applications, users, and infrastructure needed to service the enterprise. Traditional remote access models weren’t built for business models of today and are unable to keep up with the pace of change. Read this paper to understand how remote access can be redefined to remove the complexity, meet end-user expectation and mitigate network security risks.

With the constant drumbeat of news reports about security breaches, cyber security is hard to ignore. Organizations understand that they need comprehensive security solutions, yet significant gaps remain. Malicious actors have evolved their methods to leverage the vulnerabilities of the Domain Name System (DNS), and attacks that utilize this vector are increasing in number.

The cyber threat landscape is dynamic and accelerating. The Domain Name System (DNS) is a vulnerability in many organizations’ defenses that malicious actors are increasingly exploiting. The following DNS best practices, when coupled with an enterprise threat protection service, will aid you in identifying, blocking, and mitigating targeted threats such as malware, phishing, ransomware, and data exfiltration.

"Existing security controls are outmatched — at best static and reactive. Current layers likely aren’t protecting you against all attack vectors, like the vulnerable back door that is recursive DNS. And security mechanisms that frustrate, impede, or disallow legitimate users, devices, or applications will have low adoption rates and/or will curtail productivity. Benign users may even circumvent these processes, further undermining your corporate security posture and creating more gaps in your defense-in- depth strategy.
One of the many use cases associated with a zero trust security strategy is protecting your network — and most importantly, your data — from malware. "

"A zero trust security and access model is the solution: Every machine, user, and server should be untrusted until proven otherwise. But how do you achieve zero trust?
Read this white paper authored by Akamai’s CTO, Charlie Gero, to learn how to transition to a perimeter-less world in an incredibly easy way, with steps including:
• The zero trust method of proof
• The vision behind Google BeyondCorpTM
• Analysis of application access vs. network access
• How to deploy user grouping methodology
• Guidance for application rollout stages 1-8"

"Use this step-by-step guide from Akamai’s CTO, Charlie Gero, to build an inclusive and concrete zero trust architecture, intended to help enable safe application access in a cloud-native world. Easily transition to a perimeter-less environment with this prescriptive process, phasing applications in one at a time and
reducing your migration risk profile."

On-demand Webinar
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs.
What You Will Learn:
Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes
How multi-variate statistical process control can help to detect deviations from a baseline
How to monitor in real time the OEE and produce a 360 view of your factory
The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models.
Speakers:

The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.

Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.

Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.

The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution.
Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze.
Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform.
Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing:
• Reduced downtime
• Minimized surplus and defects • Deep insights
• End-to-end real-time visibility

When considering an upgrade of client PCs, it’s important to consider more than just the initial cost of new systems. User needs are ever-evolving and you want to make client hardware choices today that will meet the mobility, productivity, and security needs of today’s on-the-go work environments. Read this paper to learn about the factors that contribute to total cost of ownership so you can build a business case for upgrading that moves beyond budget constraints to focus on value.

Enterprises face more computing options than ever. This step-by-step guide explains how to choose whether a desktop, laptop, Ultrabook, tablet, convertible or all-in-one is the best choice for a particular employee.

Harsh environments for PCs are not confined to factory floors and constructions sites today. They also include hospitals, trucks, and even some classroom settings, among others. A new study from IDG Research and related two-page paper detail just what environmental threats worry buyers the most, and therefore what laptop purchasing criteria rank the highest. Tying together strong computing capability with a highly productive operating system in the right rugged notebook solution is possible. Download this two-page paper to learn the most important factors driving needs for refreshed rugged systems.

There are many attributes to consider when choosing sourcing options, some more obvious than others, such as hourly rate. However, when evaluating the true costs of sourcing, leading organizations also look at other critical factors associated with business-critical projects--such as agility, integration with other operations, security risks, scalability, public image, and business understanding-- that can make all the difference to ensuring successful project outcomes.

According to a McKinsey study, half of all outsourced projects failed to meet their expected goals – while an Information Week Survey showed that 40% of outsourced projects did not save money! Factors that contribute to these problems include issues with quality, time zone challenges, and added travel expenses, among others.

Commercial launch is a critical and complex period in the Life Sciences product life cycle. The transition from clinical development to commercial operations can seem overwhelming as companies face considerable challenges in transforming from an R&D-driven organization to one focused on achieving in-market business and commercial excellence. Core to successful launches is preparing the company for a whole new raft of capabilities, processes, and relationships, and in doing so there are a number of factors included in this checklist that companies should consider and questions they should answer.

Since the late 1990s, offshoring has become a deeply entrenched practice at many North American organizations. However, changing economic factors and the emergence of formerly hidden problems with offshoring have led Gartner to look at compelling alternatives, notably domestic rural sourcing.

Your migration is also an opportunity for a “data center do-over” that could include virtualization optimization, cloud adoption, Active Directory cleanup, and server and storage updates. After all, the preparation and process for implementing these advances in IT capability are exactly the same as for an OS migration.

More than 23 million servers in the world are still running on the Microsoft Windows Server 2003 operating system, making it the most popular engine for serving information and applications globally for over a decade. But, starting in July 2015, Microsoft will no longer provide basic support for it.

Migrating your enterprise to a modern Microsoft® Windows® operating system is a complex process that can strain IT resources. That’s why Dell is focused on helping customers meet the deadline of the decade: On 14 July 2015 support for Windows 2003 will cease. The strategic value to efficient Windows migration is application, hardware and deployment readiness.